Instructions to use milaO/classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use milaO/classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="milaO/classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("milaO/classification") model = AutoModelForImageClassification.from_pretrained("milaO/classification") - Notebooks
- Google Colab
- Kaggle
classification
Autogenerated by Mila Omrani🤗🖼️
Report any issues with the demo at the github repo.
Example Images
Cat
Fire
Person
- Downloads last month
- 7
Evaluation results
- Accuracyself-reported0.925


